roadmap-prioritization-planning

name	roadmap-prioritization-planning
version	2.0.0
description	Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
sasmp_version	1.3.0
bonded_agent	04-roadmap-prioritization
bond_type	PRIMARY_BOND
parameters	[{"name":"backlog","type":"array","required":true,"description":"Feature list to prioritize"},{"name":"framework","type":"string","enum":["rice","moscow","kano","ice","wsjf"]}]
retry_logic	{"max_attempts":3,"backoff":"exponential"}
logging	{"level":"info","hooks":["start","complete","error"]}

Roadmap & Prioritization Skill

Master the art of saying "no". Create focused roadmaps that align your organization, drive strategic outcomes, and maximize impact with limited resources.

RICE Scoring System (Complete)

Formula

RICE Score = (Reach × Impact × Confidence) / Effort

Reach: How many users affected? (1-100+)
- 10+ = 10
- 100+ = 100
- 1000+ = 1000

Impact: Per-user impact (3, 2, 1, 0.5)
- 3 = Massive (10x improvement)
- 2 = High (significant improvement)
- 1 = Medium (noticeable improvement)
- 0.5 = Low (minor improvement)

Confidence: How confident? (0.25-1.0)
- 1.0 = High (research backed)
- 0.8 = Medium (some validation)
- 0.5 = Low (minimal validation)
- 0.25 = Very low (assumption)

Effort: Engineer-weeks needed (1-20+)

Scoring Example Matrix

Feature          Reach Impact Confidence Effort RICE Score
────────────────────────────────────────────────────────
User Onboarding   50    3      0.8      8      (50×3×0.8)/8 = 15.0
Dark Mode         200   1      0.9      4      (200×1×0.9)/4 = 45.0
API Limits        500   2      0.7      10     (500×2×0.7)/10 = 70.0
Performance Fix   1000  0.5    1.0      5      (1000×0.5×1)/5 = 100.0
Custom Fields     30    3      0.6      12     (30×3×0.6)/12 = 4.5

PRIORITIZE: Performance > API Limits > Dark Mode > Onboarding > Custom Fields

RICE Confidence Levels

High (1.0) - Research-backed

• Customer interviews conducted
• Data from analytics
• Customer support tickets confirming
• Clear customer demand

Medium (0.8) - Some validation

• Logical assumption
• One or two customers requesting
• Industry trends suggest it
• Similar features successful elsewhere

Low (0.5) - Minimal validation

• Educated guess
• Competitive pressure (they have it)
• Opportunity emerged
• Needs deeper validation

Very Low (0.25) - Pure assumption

• "Seems like good idea"
• No customer feedback
• No validation whatsoever
• High risk of waste

Alternative Prioritization Methods

Value vs Effort Matrix

           Low Effort      High Effort
High Value  QUICK WINS      STRATEGIC
           (Do first)      (Plan carefully)

Low Value   FILL-INS        AVOID
           (If time)       (Skip)

Quick Wins: High value, low effort

• Implement first for momentum
• Build confidence